Estimating the causal effect of a cash bonus on unemployment duration using Double Machine Learning with the Pennsylvania Bonus Experiment
Predicting municipal development in Bolivia using Random Forest regression on satellite image embeddings
Learning econometrics should be a more accessible and interactive experience.
An introduction to econometrics with Python and AI in the cloud
A Data Science Repository to Study GeoSpatial Development in Bolivia
A public access platform for the analysis, monitoring, and evaluation of sustainable regional development in Cambodia
Computational data science notebooks and apps to foster development studies.
Through the lens of a multiscale geographically weighted regression (MGWR) and an updated inference framework, we assess the spatial scale at which political and socioeconomic factors affect violence.
This paper introduces a user-friendly geocomputational notebook that illustrates how to process and analyze satellite NTL images.
An interactive geocomputational notebook to study spatial clusters and outliers